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Q: How many respondents in a research that would require SPSS use?

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SPSS is a powerful tool for analyzing various statistical samples. You can use it to evaluate statistics. It also provides data analysis for descriptive and bivariate statistics, prediction of numerical scores, and prediction of group identification. The main use of SPSS is the study of logical information related to research. This information may be used for statistical surveys, verification, intelligence gathering, etc. If you do any kind of research, SPSS can be a very useful tool for analyzing your data. For more information about SPSS data analysis, you can contact reputable consulting firms such as Silverlake Consult, SPSS-Tutor, and others.

The answer depends on the context.You cannot use SPSS if you have no computer. The reason is that SPSS is a computer based analysis package.You cannot use SPSS if you have no data. There must be an input into SPSS.You cannot use SPSS if your assumptions are not supported by the data. For example doing a linear regression for a relationship that is clearly non-linear. Technically, you CAN use SPSS but the reults will be wrong.

It depends where you intend publishing. The APA rules, for instance, say that standard software items, like SPSS, do not need to be cited.

The answer may be obtained from the SPSS manual. It is not realistic to try to explain it here.

You then have big problems. However, rather than SPSS making incorrect computation, it is more likely that the model is wrongly specified.

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Sas, spss

SPSS stands for Statistical Package for the Social Sciences. It is a software program used for statistical analysis in social science research and other fields.

Jenifer Larson-Hall has written: 'A guide to doing statistics in second language research using SPSS' -- subject(s): Research, SPSS (Computer file), Second language acquisition, Statistical methods

SPSS is a powerful tool for analyzing various statistical samples. You can use it to evaluate statistics. It also provides data analysis for descriptive and bivariate statistics, prediction of numerical scores, and prediction of group identification. The main use of SPSS is the study of logical information related to research. This information may be used for statistical surveys, verification, intelligence gathering, etc. If you do any kind of research, SPSS can be a very useful tool for analyzing your data. For more information about SPSS data analysis, you can contact reputable consulting firms such as Silverlake Consult, SPSS-Tutor, and others.

The SPSS is a software package that was created and launched in 1968 by SPSS Inc. To manage and statistically analyse data from social science. IBM later purchased it in 2009. If you are looking for SPSS help, then you need to visit Silverlakeconsult and SPSS-tutor for the best services from their experts.

The choice of statistical tests in SPSS depends on your specific research question, the type of data you have collected, and the nature of your hypotheses. Consider consulting with your instructor or a statistical expert to ensure you select the most appropriate test for your hypotheses and data type. You can find numerous online platforms full of professional experts from different fields of study who can assist you with your questions, queries, and doubts. SPSS-Tutotr, Silverlake Consult, etc. some of the those expert service providers. Their SPSS experts are well-qualified to help you out with every doubt of yours. Additionally, the SPSS software itself provides guidance on selecting appropriate tests based on your research design and data characteristics.

Darren George has written books on topics such as business analytics, statistics, and research methods in management. He is known for his expertise in these areas and has contributed valuable insights through his written work.

The acronym SPSS stands for "Statistical Package for the Social Sciences." Originally developed in 1968 by Norman H. Nie, C. Hadlai "Tex" Hull, and Dale H. Bent as a tool for social science research, SPSS has since become one of the most widely used statistical software packages in various disciplines. While its initial focus was on social sciences, SPSS has expanded to encompass a broader range of applications beyond just social sciences. It is now commonly used in fields such as business, healthcare, psychology, education, and market research. The name SPSS reflects its origins and its primary objective of providing statistical analysis capabilities tailored for social sciences research. However, it is worth noting that SPSS has evolved to support a wide range of statistical techniques and is no longer limited to social sciences alone.

One of the most common statistical and analysis tools in use today is SPSS. Presently, thousands of researchers, educators, and learners depend on this program for their analysis. You can get assistance with SPSS whether you are working on a research project or an assignment. Working with a professional will help you save time and produce accurate results for your academic work. If you need SPSS help from any professional you can refer SilverLake Consult. They can provide the best assignment writing services.

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While SPSS (Statistical Package for the Social Sciences) has many advantages and is widely used in various research fields, it also has some disadvantages. Here are a few of the disadvantages of SPSS: Cost: SPSS is a commercial software package and can be quite expensive, especially for individual users or small organizations with limited budgets. The cost of licenses and maintenance can be a significant barrier to access for some users. Complexity for advanced analyses: While SPSS offers a wide range of statistical procedures, it may not have the same level of flexibility or advanced statistical techniques as other software tools like R or Python. Users who require complex or specialized analyses may find that SPSS lacks certain features or capabilities. Limited programming options: While SPSS does provide a programming language called Syntax, it may not be as versatile or widely used as other programming languages. Users who prefer to write custom scripts or code may find the programming options in SPSS to be limited compared to alternatives like R or Python. Limited scalability: SPSS may not be suitable for handling large datasets or complex analyses that require substantial computational resources. Extremely large datasets can strain the performance and memory limitations of SPSS, leading to slower processing or even system crashes. Proprietary nature: SPSS is a proprietary software tool, which means users are dependent on the vendor for updates, bug fixes, and new features. This can limit the flexibility and customization options available to users, particularly compared to open-source alternatives that benefit from active developer communities. Graphical limitations: While SPSS does provide basic graphing capabilities, it may not offer the same level of flexibility and customization as specialized data visualization tools like ggplot2 in R. Users who require advanced or highly customized visualizations may find SPSS's graphical features to be limited. Learning curve: SPSS can be complex and have a steep learning curve, especially for individuals who are new to statistical analysis or the software itself. Users may need training or experience to effectively navigate and utilize SPSS's features. Despite these limitations, SPSS remains a widely used software tool in fields such as social sciences, market research, and survey analysis. Its user-friendly interface and comprehensive set of statistical procedures make it accessible to a broad range of users. However, for users with specific needs or requirements beyond SPSS's capabilities, it may be necessary to complement or explore alternative software options.

The answer depends on the context.You cannot use SPSS if you have no computer. The reason is that SPSS is a computer based analysis package.You cannot use SPSS if you have no data. There must be an input into SPSS.You cannot use SPSS if your assumptions are not supported by the data. For example doing a linear regression for a relationship that is clearly non-linear. Technically, you CAN use SPSS but the reults will be wrong.